Post-hoc loss-calibration for Bayesian neural networks.
Meet P. VaderaSoumya GhoshKenney NgBenjamin M. MarlinPublished in: CoRR (2021)
Keyphrases
- post hoc
- neural network
- pattern recognition
- artificial neural networks
- bayesian networks
- camera calibration
- bayesian estimation
- fuzzy systems
- posterior distribution
- back propagation
- neural nets
- data driven
- self organizing maps
- neural network model
- gaussian processes
- maximum likelihood
- fuzzy logic
- learning algorithm
- genetic algorithm
- multilayer perceptron
- data sets
- bayesian inference
- focal length
- reinforcement learning
- bayesian learning
- calibration method
- gaze estimation
- bayesian decision